Double-Gaussian Distributed Activation Energy Model for Coal Devolatilization

被引:91
作者
de Caprariis, Benedetta [1 ]
De Filippis, Paolo [1 ]
Herce, Carlos [2 ]
Verdone, Nicola [1 ]
机构
[1] Univ Roma La Sapienza, Dipartimento Ingn Chim Mat Ambiente, I-00184 Rome, Italy
[2] Res Ctr Energy Resources & Consumpt, CIRCE, Zaragoza 50018, Spain
关键词
DAEM KINETIC-PARAMETERS; NONISOTHERMAL TGA DATA; SEARCH METHOD; PYROLYSIS; REPRESENTATION; COMBUSTION; EVOLUTION; PRODUCTS; RATES;
D O I
10.1021/ef301092r
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Understanding and modeling of coal pyrolysis assume particular importance, since it is the first step of combustion and gasification processes. The complex reactions occurring during pyrolysis lead to difficulties in the process modeling. The aim of this work is to find a global kinetic model that well represents the pyrolysis of two different coals with opposite rank, a sub-bituminous and an anthracite coal, in order to carry out the kinetic parameters of the process. The Distributed Activation Energy Model (DAEM) was used to fit experimental data obtained with a thermogravimetric analysis. The model assumes that a series of first order parallel reactions occurs sharing the same pre-exponental factor, k(0), and having a continuous distribution of the activation energy. One of the limits of the standard Gaussian DAEM is that with this model is not possible to distinguish the primary from the secondary pyrolysis. A two Gaussians DAEM was developed considering that two classes of reactions take place having the same k(0) and different distribution of activation energy. Since in the model k0 is highly correlated with the mean activation energies, it was fixed at characteristic values taken from literature.
引用
收藏
页码:6153 / 6159
页数:7
相关论文
共 26 条
[1]   Systematic effects of coal rank and type on the kinetics of coal pyrolysis [J].
Alonso, MJG ;
Alvarez, D ;
Borrego, AG ;
Menéndez, R ;
Marbán, G .
ENERGY & FUELS, 2001, 15 (02) :413-428
[2]   COAL DEVOLATILIZATION AND HYDROGASIFICATION [J].
ANTHONY, DB ;
HOWARD, JB .
AICHE JOURNAL, 1976, 22 (04) :625-656
[3]   A comparison of different methods for predicting coal devolatilisation kinetics [J].
Arenillas, A ;
Rubiera, F ;
Pevida, C ;
Pis, JJ .
JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS, 2001, 58 :685-701
[4]   ON A REACTIVE CONTINUUM REPRESENTATION OF ORGANIC-MATTER DIAGENESIS [J].
BOUDREAU, BP ;
RUDDICK, BR .
AMERICAN JOURNAL OF SCIENCE, 1991, 291 (05) :507-538
[5]   ROOT - An object oriented data analysis framework [J].
Brun, R ;
Rademakers, F .
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 1997, 389 (1-2) :81-86
[6]   A test of the parallel reaction model using kinetic measurements on hydrous pyrolysis residues [J].
Burnham, AK ;
Schmidt, BJ ;
Braun, RL .
ORGANIC GEOCHEMISTRY, 1995, 23 (10) :931-939
[7]   Global kinetic analysis of complex materials [J].
Burnham, AK ;
Braun, RL .
ENERGY & FUELS, 1999, 13 (01) :1-22
[8]   Pattern search method for determination of DAEM kinetic parameters from nonisothermal TGA data of biomass [J].
Cai, Junmeng ;
Ji, Liqun .
JOURNAL OF MATHEMATICAL CHEMISTRY, 2007, 42 (03) :547-553
[9]  
CHERMIN HAG, 1957, FUEL, V36, P85
[10]   ACTIVATION-ENERGY DISTRIBUTION IN TEMPERATURE-PROGRAMMED DESORPTION - MODELING AND APPLICATION TO THE SOOT - OXYGEN SYSTEM [J].
DU, ZY ;
SAROFIM, AF ;
LONGWELL, JP .
ENERGY & FUELS, 1990, 4 (03) :296-302